In episode 37 of the Making Data Simple podcast, Al Martin has a detailed conversation with Avijit Chatterjee, Chief Analytics Officer at IBM Morgan Stanley and Metlife. Together, the two discuss various use cases of AI transforming business processes along with tips for networking and time-
This episode of Making Data Simple features Brian O’Neill, product designer for Designing for Analytics. Brian and host Al Martin step back from the deep, technical questions of data science, architecture and governance to look at how principles of design can clarify and accelerate development for
At TOTAL, we understand that running an oil well profitably and efficiently is mechanically and technically complex. That’s why we are always looking for new ways to innovate and become more efficient.
To attain digital transformation maturity, organizations have to build a foundation of trusted customer and product data. This includes integrating policies which control how data is used within the enterprise and protecting sensitive information.
On this week's episode of Making Data Simple, we talk about the future of AI, machine learning, and Watson with Steven Astorino, VP of development, hybrid cloud, z Analytics and IBM Canada lab director.
The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible. Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business.
Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple